Jeongyun Kim

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Jeongyun Kim is a leading researcher in robotics and autonomous systems, with a primary focus on LiDAR-based simultaneous localization and mapping (SLAM) technology. His most cited work, "SC-LiDAR-SLAM: A Front-end Agnostic Versatile LiDAR SLAM System" (2022, 33 citations), introduces a groundbreaking framework that decouples front-end odometry from back-end optimization, enabling unprecedented flexibility across diverse LiDAR sensors and environments. This contribution addresses a critical bottleneck in robotics—generating accurate 3D point cloud maps for missions ranging from autonomous navigation to data-driven urban analysis. By making SLAM systems more modular and adaptable, Kim's research has significant implications for field robotics, where sensor heterogeneity and environmental variability are common challenges. His work is notable for its practical versatility, allowing researchers and engineers to integrate state-of-the-art odometry methods without redesigning entire systems. With 33 citations in just a few years, Kim's impact is growing rapidly, positioning him as an emerging authority in SLAM technology. His contributions are essential reading for anyone advancing autonomous mapping or robotic perception.